Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.1 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bodnar
1
68 kgKiendyś
3
78 kgBengsch
4
85 kgSagan
7
78 kgZieliński
10
61 kgPfingsten
16
69 kgCharucki
18
64 kgTybor
20
72 kgKohut
24
65 kgMahďar
27
61 kgRomanik
28
62 kgLisowicz
29
85 kgStachowiak
31
62 kgLagkuti
34
68 kgPodlaski
36
68 kgBaranowski
40
68 kgSeubert
44
73 kgKomar
47
73 kgSelig
48
80 kg
1
68 kgKiendyś
3
78 kgBengsch
4
85 kgSagan
7
78 kgZieliński
10
61 kgPfingsten
16
69 kgCharucki
18
64 kgTybor
20
72 kgKohut
24
65 kgMahďar
27
61 kgRomanik
28
62 kgLisowicz
29
85 kgStachowiak
31
62 kgLagkuti
34
68 kgPodlaski
36
68 kgBaranowski
40
68 kgSeubert
44
73 kgKomar
47
73 kgSelig
48
80 kg
Weight (KG) →
Result →
85
61
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BODNAR Łukasz | 68 |
| 3 | KIENDYŚ Tomasz | 78 |
| 4 | BENGSCH Robert | 85 |
| 7 | SAGAN Peter | 78 |
| 10 | ZIELIńSKI Kamil | 61 |
| 16 | PFINGSTEN Christoph | 69 |
| 18 | CHARUCKI Paweł | 64 |
| 20 | TYBOR Patrik | 72 |
| 24 | KOHUT Sławomir | 65 |
| 27 | MAHĎAR Martin | 61 |
| 28 | ROMANIK Radosław | 62 |
| 29 | LISOWICZ Tomasz | 85 |
| 31 | STACHOWIAK Adam | 62 |
| 34 | LAGKUTI Sergiy | 68 |
| 36 | PODLASKI Michał | 68 |
| 40 | BARANOWSKI Dariusz | 68 |
| 44 | SEUBERT Timon | 73 |
| 47 | KOMAR Mateusz | 73 |
| 48 | SELIG Rüdiger | 80 |